Unlocking the Potential of mHealth: Integrating Behaviour Change Techniques in Hypertension App Design
Emily Motta-Yanac, Riley Victoria, Naomi J. Ellis, Christopher James Gidlow

TL;DR
This study examines hypertension apps to see how well they use behavior change techniques, finding that AI-powered apps offer more comprehensive support.
Contribution
The study identifies gaps in hypertension app design and highlights the broader use of behavior change techniques in AI-empowered apps.
Findings
Self-monitoring is a common feature across hypertension apps.
AI-empowered apps use a wider range of behavior change techniques.
Apps often lack functionalities like goal setting and data export.
Abstract
Background: Smartphone apps offer a promising avenue for delivering scalable interventions for hypertension self-management. This study aimed to characterise the behaviour change technique ontology (BCTO) elements present in apps available on popular platforms, map the theoretical domains framework (TDF), and describe the apps’ functionalities. Methods: A comprehensive search of app stores was conducted to identify relevant hypertension self-management apps. The identified apps were then analysed for BCTO elements, which were subsequently mapped to TDF. App functionalities and quality were assessed as well. Results: Functionalities such as self-monitoring were consistently observed across all app types, aligning with established hypertension self-management strategies. However, other key functionalities, including goal setting via reminders, communication with healthcare professionals,…
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Taxonomy
TopicsMobile Health and mHealth Applications · Digital Mental Health Interventions
